What you'll learn
Statistical Significance
What you'll learn
Statistical Significance
Social scientists often want to know if a finding is statistically significant, discuss the p-values or put confidence intervals around results. This course explains what these terms mean, how they are calculated, and how their origin lies in the way we use samples to measure and investigate people, organizations and societies.
This course will help learners to:
Understand the definition of and factors involved in establishing statistical significance
Recognize the importance of inference and how we gain information about populations from samples
Define, interpret, and calculate normal distribution
Establish the validity of sample estimates through calculating and interpreting the standard error
Use confidence intervals to identify a range of samples that will include the population parameter under investigation
Define and calculate the p-value in order to interpret the statistical significance of your null hypothesis
Recognize and evaluate what the p-value can tell us about our research
Language: English
Time to complete: 4 hours
Level: Intermediate
Instructor
[[Instructor]]
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Course modules
Course modules
There are 7 modules in this course:
1. What is statistical significance?
Understand what the term statistical significance means and recognize the difference between samples and populations. Know what makes a sample random and identify target populations relevant to different research questions.
2. Variables and their distributions
Understand what variables, values and cases are and distinguish continuous and categorical variables. Understand the mean and standard deviation as summary statistics and recognize a normal distribution.
3. How does a random sample work?
Understand why random samples produce good estimates of population parameters.
4. What is a standard error?
Establish the validity of sample estimates through calculating and interpreting standard errors.
5. How do I calculate confidence intervals with standard errors?
Use confidence intervals to identify a range of samples that will include the population parameter under investigation.
6. Testing a null hypothesis
Define and calculate the p-value in order to interpret the statistical significance of a result.
7. What does a significant p-value actually mean?
Recognize what the p-value can tell us about our research and evaluate what the p-value can tell us.
Settings
Settings
